pull base content,head:MicrosoftDocs:main,into:wwlpublishsync

Author: wwlpublish

learn-pr/azure/tour-azure-portal/4-exercise-work-with-blades.yml

@@ -6,7 +6,7 @@ metadata:
   prefetch-feature-rollout: true
   title: Exercise - Work with resources
   description: Sign in to the Azure portal and explore how to create and find different types of resources.
-  ms.date: 01/17/2025
+  ms.date: 02/27/2025
   author: JnHs
   ms.author: jenhayes
   ms.topic: unit

learn-pr/azure/tour-azure-portal/includes/3-navigate-the-portal.md

@@ -53,7 +53,7 @@ Select the **bell** icon to display the **Notifications** pane. This pane gives
 
 ### Settings
 
-Select the **gear** icon to change the Azure portal settings. In the tabs at the left, there are multiple options that let you change settings such as:
+Select the **gear** icon to change the Azure portal settings. Different tabs provide options to change settings such as:
 
 - Directories and subscription management
 - Inactivity sign out delay

learn-pr/azure/tour-azure-portal/includes/4-exercise-work-with-blades.md

@@ -10,21 +10,15 @@ In this unit, you learn how to create and find different types of resources in t
 
 Now let's start exploring how to create resources in Azure. We won't actually create any Azure resources in this exercise.
 
-1. On the home page, select **Create a resource**.
-
-1. A pane labeled **Create a resource** appears. On the right-hand side, there's a list labeled **Popular Marketplace products**. Expand this list by selecting the **See more in Marketplace** link next to the heading.
-
-1. Select the **X** icon in the upper right to return to the **Create a resource** pane.
-
-1. Next, look at the **Popular Azure services** list on the left side of the pane. This list includes services such as Virtual machine, Key Vault, Function App, and more. Many of these items include **Docs** and/or **MS Learn** links directly below the name. These links open a new browser tab with content to help you learn about that service.
-
 ## Find resource types by category
 
-1. In the left navigation pane, under **Categories**, select **Compute**. You'll now see options related to this category in the **Popular Azure services** and **Popular Marketplace products** lists.
+1. On the home page, select **Create a resource**. The **Create a resource** pane appears, showing a sampling of **Popular Azure services** and **Popular Marketplace products**. Each of these sections includes links to see more offerings.
+
+1. In the service menu, under **Categories**, select **Compute**. You now see only options related to this category in the **Popular Azure services** and **Popular Marketplace products** lists.
 
-1. To the right of **Popular Marketplace products**, select **See more in Marketplace**. The full list of available **Compute** offerings appears.
+1. Next to the **Popular Marketplace products** headings, select **See more in Marketplace**. The full list of available **Compute** offerings appears.
 
-1. In the **Operating Systems** section, select the option for **Windows Server**. If you don't see it, select **See more**.
+1. In the **Operating Systems** section, select the option for **Windows Server**. If you don't see it, select **See more**. You can also select a different offering for this exercise.
 
 1. Select the drop-down list under **Plan** to see all of the available Windows Server images.
 
@@ -38,11 +32,11 @@ Another way to locate services from the **Create a resource** pane is to use sea
 
 The search box at the top of the **Create a resource** pane defaults to checking every Azure service category to get its results. You can also refine your search by selecting a category.
 
-1. Type `virtual machine` into the search box and select <kbd>Enter</kbd>.
+1. Start on the main **Create a resource** page. Type `virtual machine` into the **Search service** search box and select <kbd>Enter</kbd>. 
 
-1. In the left navigation pane, under **Categories**, select **Compute**. You'll see a filtered list of **Compute** offerings related to virtual machine images.
+1. In the service menu, under **Categories**, select **Security**. You'll see a filtered list of virtual machine offerings that are related to security.
 
-1. Select any of the results that interest you to learn more about that offering, including how to get started. Select the **X** in the corner to return to the list and explore a different offering. When you're done, move to the next step.
+1. Select any of the results to learn more about that offering, including how to get started. Select the **X** in the corner to return to the list and explore a different offering. When you're done, move to the next step.
 
 1. Select the **X** at the top right-hand corner to close the **Marketplace** pane. The **Create a resource** pane is visible once again.
 

learn-pr/windows/get-started-with-web-development/4-css-basics.yml

@@ -4,10 +4,11 @@ uid: learn-windows.introduction-to-web-development.4-css-basics
 metadata:
   title: Exercise - Style your HTML with CSS
   description: Learn how to use CSS to apply styles to the HTML of your web app.
-  ms.date: 09/17/2024
+  ms.date: 02/26/2025
   author: kjo-msft
   ms.author: karinjohnson
   ms.topic: unit
+  ms.custom: copilot-scenario-highlight
 durationInMinutes: 10
 content: |
-    [!include[](includes/4-css-basics.md)]
+    [!include[](includes/4-css-basics.md)]

learn-pr/windows/get-started-with-web-development/includes/4-css-basics.md

@@ -236,3 +236,17 @@ To add support for a dark theme to your CSS, use the following steps.
 1. Edit the `<body>` class attribute to switch the default back to light theme.
 
 In the next unit, you use JavaScript to provide interactivity and support the switching of themes.
+
+## Use GitHub Copilot to add a theme
+
+You can use GitHub Copilot in your IDE to generate CSS to add a new theme. You can customize the prompt to specify properties to define the styles for HTML elements per your requirements.
+
+The following text shows an example prompt for Copilot Chat:
+
+```copilot-prompt
+Add a medium colored theme in the CSS file using hex color codes for blue font and light blue background. Make font family as Arial.
+```
+
+GitHub Copilot is powered by AI, so surprises and mistakes are possible. For more information, see [Copilot FAQs](https://aka.ms/copilot-general-use-faqs).
+
+Learn more about [GitHub Copilot in Visual Studio Code](https://code.visualstudio.com/docs/copilot/overview).

learn-pr/windows/get-started-with-web-development/index.yml

@@ -9,7 +9,7 @@ metadata:
   manager: mijacobs
   ms.topic: module
   ms.service: vs-code
-  ms.custom: engagement-fy23
+  ms.custom: engagement-fy23, copilot-scenario-highlight
 title: Get started with web development using Visual Studio Code
 summary: Practice the beginning steps of web development by creating a simple web project in Visual Studio Code that contains a web page, a CSS file, and a JavaScript file. Learn how to use developer tools in your browser to check your work.
 

learn-pr/wwl-data-ai/analyze-images-computer-vision/includes/2b-computer-vision-models.md

@@ -32,13 +32,13 @@ CNNs have been at the core of computer vision solutions for many years. While th
 
 ### Transformers
 
-Most advances in computer vision over the decades have been driven by improvements in CNN-based models. However, in another AI discipline - *natural language processing* (NLP), another type of neural network architecture, called a *transformer* has enabled the development of sophisticated models for language. Transformers work by processing huge volumes of data, and encoding language *tokens* (representing individual words or phrases) as vector-based *embeddings* (arrays of numeric values). You can think of an embedding as representing a set of dimensions that each represent some semantic attribute of the token. The embeddings are created such that tokens that are commonly used in the same context are closer together dimensionally than unrelated words.
+Most advances in computer vision over the decades have been driven by improvements in CNN-based models. However, in another AI discipline - *natural language processing* (NLP), another type of neural network architecture, called a *transformer* has enabled the development of sophisticated models for language. Transformers work by processing huge volumes of data, and encoding language *tokens* (representing individual words or phrases) as vector-based *embeddings* (arrays of numeric values). You can think of an embedding as representing a set of dimensions that each represent some semantic attribute of the token. The embeddings are created such that tokens that are commonly used in the same context define vectors that are more closely aligned than unrelated words.
 
 As a simple example, the following diagram shows some words encoded as three-dimensional vectors, and plotted in a 3D space:
 
 ![Diagram of token vectors in a 3D space.](../media/language-encoder.png)
 
-Tokens that are semantically similar are encoded in similar positions, creating a semantic language model that makes it possible to build sophisticated NLP solutions for text analysis, translation, language generation, and other tasks.
+Tokens that are semantically similar are encoded in similar directions, creating a semantic language model that makes it possible to build sophisticated NLP solutions for text analysis, translation, language generation, and other tasks.
 
 > [!NOTE]
 > We've used only three dimensions, because that's easy to visualize. In reality, encoders in transformer networks create vectors with many more dimensions, defining complex semantic relationships between tokens based on linear algebraic calculations. The math involved is complex, as is the architecture of a transformer model. Our goal here is just to provide a *conceptual* understanding of how encoding creates a model that encapsulates relationships between entities.

learn-pr/wwl-data-ai/analyze-images-computer-vision/media/language-encoder.png

@@ -6,8 +6,8 @@ metadata:
   prefetch-feature-rollout: true
   title: Introduction
   description: "Introduction"
-  ms.date: 06/10/2022
-  author: wwlpublish
+  ms.date: 02/27/2025
+  author: JulianePadrao
   ms.author: jupadrao
   ms.topic: unit
 azureSandbox: false

learn-pr/wwl-data-ai/manage-azure-paas-resources-using-automated-methods/1-introduction.yml

@@ -6,8 +6,8 @@ metadata:
   prefetch-feature-rollout: true
   title: Explore Elastic jobs
   description: "Explore Elastic jobs"
-  ms.date: 06/10/2022
-  author: wwlpublish
+  ms.date: 02/27/2025
+  author: JulianePadrao
   ms.author: jupadrao
   ms.topic: unit
   ms.custom: